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Online consumer product review is becoming increasingly important in consumers' purchase decisions. Online product review is a sort of product information created by users based on their personal usage experience. It basically serves as a passive “sales assistant” for information seeker, the customer, to check if the product matches her idiosyncratic usages. In the context of product information seeking...
This study to analyze the factors that influence consumers online purchasing behavior, we propose a consumer decision-making model which based on benefit and risk and evaluate the interaction between risk and benefit. We also consider some factors that influence consumers' perceived benefit and perceived risk such as a third-party payment platform, reputation, e-commerce experience, lower price, variety...
In service industries, productivity growth requires matching the level of demand of the consumer and the level of service of the provider. This matching requires the service provider to have knowledge of consumer-related factors, such as the satisfaction level or the concept of value of the consumer. An intelligent model of the consumer is needed in order to estimate such factors because these factors...
The present financial tsunami has brought credit risk into a main focus. Dynamic credit scoring tools is highly demanded by commercial banks with products like credit cards. However, till now practitioners almost only employ statistical scoring models such as regressions. Thus the purpose of this paper is to provide for a new direction of attempts in modeling consumer credit risk and behavioral scoring...
The development and progress of ICT in the recent two decades has brought great changes to the whole world. Nowadays, ICT is being applied abroad, typically applied on Internet. As for consumerpsilas behavior, e-shopping is common. This research does an analysis in the factors on traditional shopping (in-store shopping) and e-shopping by SEM Models. Also, this research analyses the causes of e-shopping...
The original Technology Accepted Model is always effective in forecasting the attitudes and behaviors of the staff when the new technology or new systems are applied. Because of its limited background and the particularity of 3G data services, it seems useless of the original TAM to predict and analyze consumerspsila acceptances towards 3G data services. According to the current applied status of...
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